iProov

Research Engineer – Research

iProov

full-time

Posted on:

Location Type: Hybrid

Location: LondonUnited Kingdom

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Salary

💰 £50,000 - £65,000 per year

About the role

  • You’ll be part of a collaborative, low-ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.
  • In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests from palm and fingerprint matching to advanced presentation-attack detection to stay one step ahead of attackers.
  • You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defences are ready before real-world threats appear.
  • You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems.
  • Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.
  • As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.
  • Take ownership of research areas in computer vision, machine learning, and biometrics.
  • Work collaboratively with the research team to find the best solutions.
  • Communicate research outcomes and findings across the company.
  • Contribute to the broader research strategy of the team.
  • Challenge the existing solutions and improve the status quo.
  • Contribute to a strong team ethic, encouraging psychological safety and inclusivity.

Requirements

  • A Master's or PhD in a quantitative field such as computer science, engineering, or computational neuroscience.
  • Experience in machine learning and computer vision.
  • Strong mathematical skills.
  • Experience in developing research projects using Python.
  • A solid understanding of machine learning techniques, including Neural Networks.
  • Familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn.
  • Experience with Deep Learning libraries like PyTorch or TensorFlow.
  • The ability to process large amounts of data, including unstructured data.
  • Excellent communication skills for understanding and explaining complex concepts.
  • Strong programming skills with a good grasp of data structures, object-oriented programming, and software engineering principles.
  • Good time management and organizational skills.
  • Great to have (but not essential) Understanding of multiple machine learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, and Pattern Recognition.
  • Experience with Docker and Google Cloud Platform.
  • Experience with DevOps tools for experiment tracking, automation, and dataset versioning.
Benefits
  • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
  • Growth Shares allocated after passing probation (6 months of service)
  • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
  • Nursery Sacrifice Scheme
  • Work Overseas Perk - Work globally for up to 2 weeks
  • Life Assurance
  • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
  • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
  • Award winning L&D platform with personal allocated training budgets
  • Enhanced paid family leave
  • Pension - 5% employee, 3% employer
  • Flexible hybrid working environment
  • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
  • Free access to WeWork discounts and free online well-being sessions
  • Vitality Health - a range of options available on this below: The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology
  • 50% off monthly gym memberships
  • Apple watches significantly discounted based member vitality status
  • Half price trainers with Runners Need
  • Weekly rewards – Free coffee with Café Nero
  • Monthly rewards – Free Cinema ticket
  • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status
  • Amazon prime free months based on activity
  • Up to 25% cashback at Waitrose when buying healthy foods
  • 75% off stays at Champneys Health Spas
  • Allen Carr’s £299 no smoking programme for free
  • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace
  • Discounts on Weight Watchers
  • 50%-80% off Comprehensive Private Health screenings
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningcomputer visionDeep LearningNeural NetworksPythondata structuresobject-oriented programmingsoftware engineering principlesimage processingpattern recognition
Soft Skills
communication skillstime managementorganizational skillscollaborationproblem-solvingcreativitypsychological safetyinclusivity
Certifications
Master's degreePhD